Re: A86: Re: odd thing
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Re: A86: Re: odd thing
Try at ti.com for the stat documentation in .pdf format (or anyone's spare ti83
manual).
Also, the distribution functions might be easier (although the stat ones might
reveal stuff about working w/ lists)... I'm not sure if the docs contain the
parameters for the home-screen functions, but for the normalpdf(, it takes 1 to 3
parameters. With one parameter, it's just the Z-score to find the height of the
standard (mean=0, std. dev=1) normal distribution at (?), and if there are 3, then
the second is the mean and the 3rd is the std. dev.
Hope this helps (and if you find any list/matrix math stuff, please tell me...)
Dux Gregis wrote:
> Garcia wrote:
>
> > >> 3. Writing your own functions (like that Stat Beta ..I love it)
> > >
> > >You should explain to me a couple (just a couple) of the Stat Functions. I
> > >discovered how to create a function, but I can't read the parameters. But
> > if I
> > >knew what some of the functions did... ;-)
> > >
> > >Or maybe there is a document you could direct me to?
> > >
> >
> > Here are the one's I know: (I'm in AP Stat)
> >
> > 1. ZTest(:
> > This take four or five integers.. The first one is "stu0" (the u should
> > be the greek letter).This is what the test is performed against. Second is
> > "sto" - the sample's standard deviation (o should be sigma?). The third is
> > stx (x bar) the observed sample average. The fourth is stn (population
> > size). There can be a fifth arg. depending what you want. If there is no
> > fifth arg. then ZTest checks:
> >
> > uO =/ x (u sub 0 does not equal xbar (that is the third arg.)
> > If the fifth arg is greater than 0 it check for uo>x
> > If less than 0 it checks for uo<x
> >
> > (This is taking a long time)
> >
> > 2. Chitst( (Chi-Sqaured test)
> > This take two args. First is the name of a matrix (the observed values)
> > which is stored in equation "stobs". Then the second is the name of the
> > martix that you want the output in (the expected values). This name is
> > stored in equ "stexp"
> >
> > All of this is really hard to explain without you having taken some stats
> > because tests like ZTest and ZPrp and use in part the normal approximation
> > of the area of a normal curve at a given distance from the mean.
> >
> > I hope this helps some.
> >
> > Andres Garcia
> > ----------------------
> > xrigel@q-net.net
>
> Thanks. It does help. If I ever figure out how to read the parameters,
> you'll know because I'll update my Tokens program so that it contains
> LnOff(x1,y1,x2,y2) as a third function and then upload the program to
> ticalc.org.
--
Stephen Hicks
mailto:shicks@mindspring.com
UIN:5453914
AIM:Kupopo1
References: